Senior Physical Design Engineer at NVIDIA

Bengaluru, Karnataka, India

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, GPU, AI, AutomotiveIndustries

Requirements

  • BE/BTECH/MTECH, or equivalent experience
  • 4+ years of experience in Physical Design
  • Strong understanding in the RTL2GDSII flow or design implementation in leading process technologies
  • Good understanding of RTL2GDSII concepts related to synthesis, place & route, CTS, timing convergence, layout closure
  • Expertise on high frequency design methodologies
  • Good knowledge and experience in Block-level and Full-chip Floor-planning and Physical verification
  • Working experience with tools like ICC2/Innovus, Primetime/Tempus etc used in the RTL2GDSII implementation
  • Strong knowledge and experience in standard place and route flows ICC2/Synopsys and Innovus/Cadence flows preferred
  • Well versed with timing constraints, STA and timing closure
  • Good automation skills in PERL, TCL, tool specific scripting on one of the industry leading Place & Route tools
  • Proficiency using Perl, Tcl, Make scripting is preferred
  • Ability to multi-task and flexibility to work in global environment
  • Good communication skills and strong motivation
  • Strong analytical & Problem solving skills

Responsibilities

  • Lead all block/chip level PD activities
  • Perform PD activities including floor plans, abstract view generation, RC extraction, PNR, STA, EM, IR DROP, DRCs & schematic to layout verification
  • Work in collaboration with design team for addressing design challenges
  • Help team members in debugging tool/design related issues
  • Constantly look for improvement in RTL2GDS flow to improve PPA
  • Troubleshoot a wide variety up to and including difficult design issues and apply proactive intervention
  • Responsible for all aspects of physical design and implementation of GPU and other ASICs targeted at the desktop, laptop, workstation, and mobile markets

Skills

Physical Design
Floorplanning
Place and Route
STA
RC Extraction
EM IR Drop
DRC
RTL2GDS
PNR
Schematic Verification

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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